PERsonlisation TAgging interface INformation in Services (PERTAINS)

Caroline Williams, Executive Director of Intutecaroline.williams@manchester.ac.uk

Andy Priest, Intute Technical Co-ordinatorandrew.priest@manchester.ac.uk

PERsonlisation TAgging interface INformation in Services (PERTAINS)

Background

•University of Glamorgan and Mimas•Intute and Copac•Follow on from EnTag

PERTAINS – Tag Suggestion Services

• Rationale– Draws on previous work (EnTag project)– Improving quality of user tag metadata

• Basis for suggestions– Using existing document metadata

• Titles and abstracts• Classification terms and existing keywords (user

tags)

– Suggestions from controlled vocabulary• Matching against DDC captions and relative

index terms

Document Metadata• Title• Classification• Uncontrolled keywords • Controlled keywords• Description

Suggestion Services

DDC (SKOS)

• Aim – improve quality of tag metadata• Basis – existing document metadata / DDC (SKOS)• Algorithm – matching, weighting, filtering, ranking• Implementation – URL based web service interface

PERTAINS – Tag Suggestion Services

PERTAINS – Tag Suggestion Services

• Algorithm– Disambiguation of suggestions

• Area of Interest (AOI) filter – restrict suggestions to specific subject areas (DDC summaries)

– Weighting of suggestions - ranking by relevance

• Implementation– Boolean full text matching (MySQL)– URL based web service call interface

• Fast, scalable, platform neutral

– JSON data structures returned

What does it do?